Director, Audience Strategy
- Toronto, ON, Canada
Salary Range: $115,000 - $125,000 · Full-time
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Job details
- Pay
- Salary Range: $115,000 - $125,000
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
Agency
Omnicom Media
Job Function
Data and Analytics
Job Subfunction
Data Science and Analytics
Job Description
Position Summary
As our new Director, Audience Strategy, you will take on blended agency + client-facing role that incorporates business consulting, analytical depth, and cross-functional leadership.
Key Responsibilities
Audience Strategy
Required Experience
Skills
Omnicom Media is providing the compensation range that the company is willing to pay for this position based on the successful applicant’s education, experience, knowledge, skills and abilities. In addition, Omnicom Media provides rewarding offerings such as:
Salary Range: $115,000 - $125,000
To the extent permissible by local law, Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager.
Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us - we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.
Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice/
,
Salary Range: $115,000 - $125,000
Omnicom Media
Job Function
Data and Analytics
Job Subfunction
Data Science and Analytics
Job Description
Position Summary
As our new Director, Audience Strategy, you will take on blended agency + client-facing role that incorporates business consulting, analytical depth, and cross-functional leadership.
- Serving as a trusted advisor, you will connect client priorities to the right data capabilities (1P, 2P, 3P), technology, and strategy, to help drive measurable business outcomes.
- Using your financial accumen and eye for detail you will ensure accurate revenue reporting, campaign pacing, and identify opportunities to grow audience targeting usage
- Using your technical expertise and analytics skills you will support a talented team of analysts on segment creation, activation, manage operational issues, and collaborate on the development of new tools that improve the efficiency and effectiveness of our processes.
- Leveraging your industry knowledge and leadership skills, you will work with internal product teams and vendors partners to grow our capabilities.
Key Responsibilities
Audience Strategy
- Own the audience narrative for clients and align all work to business priorities and measurable outcomes.
- Advise senior stakeholders using data-driven insights across audience strategy, testing, and optimization.
- Translate complex signals and technical concepts into clear, actionable recommendations that build confidence with clients, partners, and internal leaders
- Support development of client-facing deliverables including segment specifications, activation guides, and performance reports
- Evolve and manage client data partnerships to ensure our audience offering stays ahead of customer needs
- Manage audience infrastructure including segment uploads, match rate optimization, and troubleshooting activation issues across DSPs, social platforms, and other endpoints
- Maintain documentation of audience build processes, segment definitions, and activation requirements
- Support audience modeling projects including clustering, lookalike modeling, propensity scoring, and behavioral segmentation in partnership with Advanced Analytics team
- Willingness and ability to be “hands-on” as needed to step in, guide, or support deliverables.
- Mentor a talented team of 4+
- Contribute to internal training materials and knowledge sharing sessions
- Support recruitment efforts by participating in interviews and candidate evaluations
- Provide technical guidance to junior team members and media planners on audience capabilities and data requirements
- Stay current on audience strategy best practices, emerging technologies, and privacy developments
- Pilot new tools, techniques, and data sources to expand team capabilities
- Document learnings and contribute to internal process improvements
- Explore applications of AI/ML for audience development under senior guidance
Required Experience
- 7+ years of experience in audience strategy, data strategy, programmatic media, or marketing analytics within agency, brand, or martech environments
- Experience managing a multi-million-dollar budget
- 1-3 years of people management experience
- Demonstrated ability to independently execute complex audience projects from data analysis through activation
- Direct hands-on experience building audience segments and managing campaign activation across multiple platforms
- Proven ability to communicate technical concepts clearly to non-technical stakeholders
- Strong bias toward action with attention to detail and quality
- Exceptional presentation and written communication skill
- Ability to manage multiple concurrent projects with competing priorities
- Works effectively across teams and builds productive relationships
- Comfortable with ambiguity and changing priorities in a fast-paced environment
- Understanding of the Canadian data partner ecosystem
- Knowledge of privacy regulations (PIPEDA, CASL) and their implications for audience strategy
- Awareness of cookie-less targeting approaches and emerging identity solutions
- Basic understanding of media marketplace dynamics and trading mechanics
- Working knowledge of SQL with ability to debug queries for data extraction, transformation, and segmentation
- Working knowledge of statistical analysis and modeling techniques (clustering, regression, propensity models)
- Familiarity with programmatic buying, DSPs, DMPs, CDPs, and ad serving technologies
- Experience with analytics platforms (Google Analytics, Adobe Analytics) and measurement methodologies
- Exposure to Python or R is an asset
- Experience with data clean rooms and privacy-enhancing technologies is a plus
- University degree in Marketing, Statistics, Data Science, Business Analytics, or related quantitative field
- Advanced degree (MBA, MS) is an asset but not required
- Hybrid work environment with flexibility for remote work
- Fast-paced agency environment with multiple clients and competing deadlines
- Occasional evening or weekend work during peak campaign periods
- Some travel may be required for client meetings or industry events
Skills
Omnicom Media is providing the compensation range that the company is willing to pay for this position based on the successful applicant’s education, experience, knowledge, skills and abilities. In addition, Omnicom Media provides rewarding offerings such as:
- Generous paid time off with a minimum of 37 paid days off including vacation and monthly wellness days. We also have four-day long weekends, half-day summer Fridays, and meeting-free Friday afternoons year-round.
- A flexible hybrid work model that works for you.
- A focus on personal development with formal training opportunities, including mental health training and inclusion education for everyone.
- A chance to be part of and grow within a global network of agencies.
- The opportunity to contribute to our company culture by joining one of our many community-based employee groups, such as Black Employee Network, Girls on Fire, Hispanic or Latinx Alliance, Neuro Network, Pan-Asian Network, and Rainbow Lounge.
Salary Range: $115,000 - $125,000
To the extent permissible by local law, Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager.
Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us - we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.
Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice/
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Salary Range: $115,000 - $125,000
More about this job
Responsibilities
Lead client audience strategy by connecting business priorities with data, technology, and measurable outcomes, while advising stakeholders and developing client-facing recommendations. Manage audience activation and infrastructure, mentor a team of analysts, collaborate with product teams and vendors, and advance tools and processes.
Requirements
Requires 7+ years of relevant experience, 1–3 years of people management, experience managing a multi-million-dollar budget, and hands-on audience segment creation and activation across platforms. Candidates should have working knowledge of SQL, statistical modeling, programmatic technologies, analytics platforms, and Canadian privacy requirements, plus a relevant university degree.
Skills
- Audience Strategy
- Data Strategy
- Programmatic Media
- Marketing Analytics
- Audience Segmentation
- Campaign Activation
- SQL
- Statistical Analysis
- Audience Modeling
- People Management
- Presentation Skills
- Project Management
- Privacy Regulations
- DSPs
- Data Clean Rooms
Benefits
- Paid Time Off
- Vacation
- Monthly Wellness Days
- Four-Day Long Weekends
- Half-Day Summer Fridays
- Meeting-Free Friday Afternoons
- Flexible Hybrid Work Model
- Formal Training Opportunities
- Mental Health Training
- Inclusion Education
- Employee Community Groups
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Marketing
- Management & Leadership
- Creative & Media
- Consulting
Keywords
- Audience Strategy
- Data Strategy
- First-Party Data
- Second-Party Data
- Third-Party Data
- Audience Segmentation
- Segment Activation
- Match Rate Optimization
- Audience Modeling
- Clustering
- Lookalike Modeling
- Propensity Scoring
- Behavioral Segmentation
- SQL
- Python
- R
- Statistical Analysis
- Regression
- Programmatic Buying
- DSPs
- DMPs
- CDPs
- Ad Serving
- Google Analytics
- Adobe Analytics
- Data Clean Rooms
- Privacy-Enhancing Technologies
- PIPEDA
- CASL
- Cookie-Less Targeting